Announcing ESSIC’s 1st AI/ML Workshop: On the Pathway to a Digital Earth
To embrace the rapidly evolving field of AI/ML, ESSIC launches the ESSIC AI Forum and a one-day workshop: “On the Pathway to a Digital Earth”.
To embrace the rapidly evolving field of AI/ML, ESSIC launches the ESSIC AI Forum and a one-day workshop: “On the Pathway to a Digital Earth”.
ESSIC/CISESS Associate Research Scientist Isaac Moradi is the PI of a proposal selected by NASA ROSES to assimilate measurements from active spaceborne radars into NASA GEOS model. The project will benefit from CloudSat CPR and GPM DPR observations and will be conducted in collaboration with Co-Is from NASA Global Modeling and Assimilation Office and the Mesoscale Atmospheric Processes Laboratory.
As a now traditional part of the ESSIC end-of-year Holiday Party, two annual peer awards were presented to honor the year’s Best Paper and the Employee of the Year. This year, Director Ellen Williams presented these awards to Toshi Matsui, Associate Research Scientist, as well as Donna Gray, Coordinator, and Luther Clark, IT Coordinator.
ESSIC/CISESS Associate Research Scientist Isaac Moradi is convening and chairing three sessions at the American Geophysical Union Fall meeting, occurring virtually this year due to COVID-19. The sessions are “Data Assimilation, Reanalysis, and Observing System Simulation Experiments I”, “Data Assimilation, Reanalysis, and Observing System Simulation Experiments II Posters”, and “Calibration and Validation of Satellite Earth Observation Systems I Posters”.
ESSIC/CISESS Associate Research Scientist Isaac Moradi recently published a paper in Monthly Weather Review titled “Assimilation of satellite microwave observations over the rainbands of tropical
Greenbelt Lake, MD. PC: Isaac Moradi Associate Research Scientist Isaac Moradi recently published a paper in Journal of Geophysical Research – Atmospheres titled “Performance of Radiative Transfer Models in the
A paper co-authored by ESSIC/CISESS Assistant Research Scientist Jifu Yin titled “NOAA Satellite Soil Moisture Operational Product System (SMOPS) Version 3.0 Generates Higher Accuracy Blended Satellite Soil Moisture” was recently published in Remote Sensing.
ESSIC/CISESS scientists Post-doctoral Associate Yan Zhou and Senior Faculty Specialist Chris Grassotti have recently published in article in Remote Sensing titled “Development of a Machine Learning-Based Radiometric Bias Correction for NOAA’s Microwave Integrated Retrieval System (MiRS)”.
University of Maryland researchers will lead a five-year, $10 million project funded by the U.S. Department of Agriculture’s National Institute of Food and Agriculture to help farmers in the Corn Belt navigate efficient water and nutrient use in order to increase crop production.
Several ESSIC/CISESS scientists have contributed to a new e-book published by Springer titled “Satellite Precipitation Measurement”.